Package | Description |
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jsat.classifiers.neuralnetwork |
Modifier and Type | Method and Description |
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RBFNet.Phase2Learner |
RBFNet.getPhase2Learner()
Returns the learning method to use for determining the bandwidths of each
center in the network.
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static RBFNet.Phase2Learner |
RBFNet.Phase2Learner.valueOf(String name)
Returns the enum constant of this type with the specified name.
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static RBFNet.Phase2Learner[] |
RBFNet.Phase2Learner.values()
Returns an array containing the constants of this enum type, in
the order they are declared.
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Modifier and Type | Method and Description |
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void |
RBFNet.setPhase2Learner(RBFNet.Phase2Learner p2l)
Sets the method used for learning the bandwidths for each centroid in the
network.
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Constructor and Description |
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RBFNet(int numCentroids,
RBFNet.Phase1Learner cl,
RBFNet.Phase2Learner bl,
double alpha,
int p,
DistanceMetric dm,
Classifier baseClassifier)
Creates a new RBF Network for classification tasks.
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RBFNet(int numCentroids,
RBFNet.Phase1Learner cl,
RBFNet.Phase2Learner bl,
double alpha,
int p,
DistanceMetric dm,
Regressor baseRegressor)
Creates a new RBF Network for regression tasks.
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